Learning about Data, Algorithms, and Algorithmic Justice on TikTok in Personally Meaningful Ways

Luis Morales-Navarro, Yasmin B. Kafai, Ha Nguyen, Kayla DesPortes, Ralph Vacca, Camillia Matuk, Megan Silander, Anna Amato, Peter Woods, Francisco Castro, Mia Shaw, Selin Akgun, Christine Greenhow, Antero Garcia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

TikTok, a popular short video sharing application, emerged as the dominant social media platform for young people, with a pronounced influence on how young women and people of color interact online. The application has become a global space for youth to connect with each other, offering not only entertainment but also opportunities to engage with artificial intelligence/machine learning (AI/ML)-driven recommendations and create content using AI/M-powered tools, such as generative AI filters. This provides opportunities for youth to explore and question the inner workings of these systems, their implications, and even use them to advocate for causes they are passionate about. We present different perspectives on how youth may learn in personally meaningful ways when engaging with TikTok. We discuss how youth investigate how TikTok works (considering data and algorithms), take into account issues of ethics and algorithmic justice and use their understanding of the platform to advocate for change.

Original languageEnglish (US)
Title of host publicationISLS Annual Meeting 2024
Subtitle of host publicationLearning as a Cornerstone of Healing, Resilience, and Community - 18th International Conference of the Learning Sciences, ICLS 2024 - Proceedings
EditorsRobb Lindgren, Tutaleni Asino, Eleni A. Kyza, Chee-Kit Looi, D. Teo Keifert, Enrique Suarez
PublisherInternational Society of the Learning Sciences (ISLS)
Pages1973-1980
Number of pages8
ISBN (Electronic)9798990698000
StatePublished - 2024
Event18th International Conference of the Learning Sciences, ICLS 2024 - Buffalo, United States
Duration: Jun 10 2024Jun 14 2024

Publication series

NameComputer-Supported Collaborative Learning Conference, CSCL
ISSN (Print)1573-4552

Conference

Conference18th International Conference of the Learning Sciences, ICLS 2024
Country/TerritoryUnited States
CityBuffalo
Period6/10/246/14/24

Keywords

  • Artificial Intelligence
  • Ethics
  • Justice
  • Machine Learning
  • Social Media
  • TikTok

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Education

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